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Generative AI with LangChain

You're reading from  Generative AI with LangChain

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781835083468
Pages 360 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Ben Auffarth Ben Auffarth
Profile icon Ben Auffarth
LinkedIn
Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.
See other products by Ben Auffarth

Table of Contents (13) Chapters

Preface What Is Generative AI? LangChain for LLM Apps Getting Started with LangChain Building Capable Assistants Building a Chatbot like ChatGPT Developing Software with Generative AI LLMs for Data Science Customizing LLMs and Their Output Generative AI in Production The Future of Generative Models Other Books You May Enjoy
Index

Questions

Please see if you can come up with answers to these questions. I’d recommend you go back to the corresponding sections of this chapter if you are unsure about any of them:

  1. What are the limitations of LLMs?
  2. What are stochastic parrots?
  3. What are LLM applications?
  4. What is LangChain and why should you use it?
  5. What are LangChain’s key features?
  6. What is a chain in LangChain?
  7. What is an agent?
  8. What is memory and why do we need it?
  9. What kind of tools are available in LangChain?
  10. How does LangChain work?
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Authors (1)

Profile icon Ben Auffarth
LinkedIn
Ben Auffarth is a full-stack data scientist with more than 15 years of work experience. With a background and Ph.D. in computational and cognitive neuroscience, he has designed and conducted wet lab experiments on cell cultures, analyzed experiments with terabytes of data, run brain models on IBM supercomputers with up to 64k cores, built production systems processing hundreds and thousands of transactions per day, and trained language models on a large corpus of text documents. He co-founded and is the former president of Data Science Speakers, London.
Read more
See other products by Ben Auffarth

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